Efficient Time-Evolving Stream Processing at Scale. - Yu Huang 013 (CoRR, 2018)

RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing. - Yu Huang 013; Long Zheng 003; Xiaofei Liao; Hai Jin 001; Pengcheng Yao; Chuangyi Gui (DATE, 2019)

Efficient Time-Evolving Stream Processing at Scale. - Xiaofei Liao; Yu Huang 013; Long Zheng 003; Hai Jin 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications. - Long Zheng 003; Jieshan Zhao; Yu Huang 013; Qinggang Wang; Zhen Zeng; Jingling Xue; Xiaofei Liao; Hai Jin 001 (IPDPS, 2020)

A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing. - Yu Huang 013; Long Zheng 003; Pengcheng Yao; Jieshan Zhao; Xiaofei Liao; Hai Jin 001; Jingling Xue (IPDPS, 2020)

A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications. - Pengcheng Yao; Long Zheng 003; Zhen Zeng; Yu Huang 013; Chuangyi Gui; Xiaofei Liao; Hai Jin 001; Jingling Xue (MICRO, 2020)

Scaph: Scalable GPU-Accelerated Graph Processing with Value-Driven Differential Scheduling. - Long Zheng 003; Xianliang Li; Yaohui Zheng; Yu Huang 013; Xiaofei Liao; Hai Jin 001; Jingling Xue; Zhiyuan Shao; Qiang-Sheng Hua (USENIX ATC, 2020)

GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing. - Qinggang Wang; Long Zheng 003; Yu Huang 013; Pengcheng Yao; Chuangyi Gui; Xiaofei Liao; Hai Jin 001; Wenbin Jiang 001; Fubing Mao (FPGA, 2021)

Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration. - Jie Xin; Xianqi Ye; Long Zheng 003; Qinggang Wang; Yu Huang 013; Pengcheng Yao; Linchen Yu; Xiaofei Liao; Hai Jin 001 (HPEC, 2021)

ReSMA: accelerating approximate string matching using ReRAM-based content addressable memory. - Huize Li; Hai Jin 001; Long Zheng 003; Yu Huang 013; Xiaofei Liao; Zhuohui Duan; Dan Chen 006; Chuangyi Gui (DAC, 2022)

Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures. - Yu Huang 013; Long Zheng 003; Pengcheng Yao; Qinggang Wang; Xiaofei Liao; Hai Jin 001; Jingling Xue (HPCA, 2022)

Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling. - Qinggang Wang; Long Zheng 003; Jingrui Yuan; Yu Huang 013; Pengcheng Yao; Chuangyi Gui; Ao Hu; Xiaofei Liao; Hai Jin 001 (HPCA, 2022)

ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing. - Pengcheng Yao; Long Zheng 003; Yu Huang 013; Qinggang Wang; Chuangyi Gui; Zhen Zeng; Xiaofei Liao; Hai Jin 001; Jingling Xue (HPCA, 2022)

Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores. - Yufei Sun; Long Zheng 003; Qinggang Wang; Xiangyu Ye; Yu Huang 013; Pengcheng Yao; Xiaofei Liao; Hai Jin 001 (HPEC, 2022)

A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures. - Dan Chen 006; Hai Jin 001; Long Zheng 003; Yu Huang 013; Pengcheng Yao; Chuangyi Gui; Qinggang Wang; Haifeng Liu 003; Haiheng He; Xiaofei Liao; Ran Zheng (IPDPS, 2022)

A Data-Centric Accelerator for High-Performance Hypergraph Processing. - Qinggang Wang; Long Zheng 003; Ao Hu; Yu Huang 013; Pengcheng Yao; Chuangyi Gui; Xiaofei Liao; Hai Jin 001; Jingling Xue (MICRO, 2022)

GraphFly: Efficient Asynchronous Streaming Graphs Processing via Dependency-Flow. - Dan Chen 006; Chuangyi Gui; Yi Zhang 004; Hai Jin 001; Long Zheng 003; Yu Huang 013; Xiaofei Liao (SC, 2022)

ReCSA: a dedicated sort accelerator using ReRAM-based content addressable memory. - Huize Li; Hai Jin 001; Long Zheng 003; Yu Huang 013; Xiaofei Liao (Frontiers Comput. Sci., 2022)

ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks. - Yu Huang 013; Long Zheng 003; Pengcheng Yao; Qinggang Wang; Haifeng Liu 003; Xiaofei Liao; Hai Jin 001; Jingling Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures. - Long Zheng 003; Haifeng Liu 003; Yu Huang 013; Dan Chen 006; Chaoqiang Liu; Haiheng He; Xiaofei Liao; Hai Jin 001; Jingling Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

MeG2: In-Memory Acceleration for Genome Graphs Analysis. - Yu Huang 013; Long Zheng 003; Haifeng Liu 003; Zhuoran Zhou; Dan Chen 006; Pengcheng Yao; Qinggang Wang; Xiaofei Liao; Hai Jin 001 (DAC, 2023)

FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. - Chaoqiang Liu; Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Xiangyu Ye; Xiaofei Liao; Hai Jin 001 (FPGA, 2023)

AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. - Long Zheng 003; Xiangyu Ye; Haifeng Liu 003; Qinggang Wang; Yu Huang 013; Chuangyi Gui; Pengcheng Yao; Xiaofei Liao; Hai Jin 001; Jingling Xue (ICDE, 2023)

GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models. - Haiheng He; Dan Chen 006; Long Zheng 003; Yu Huang 013; Haifeng Liu 003; Chaoqiang Liu; Xiaofei Liao; Hai Jin 001 (IPDPS, 2023)

MetaNMP: Leveraging Cartesian-Like Product to Accelerate HGNNs with Near-Memory Processing. - Dan Chen 006; Haiheng He; Hai Jin 001; Long Zheng 003; Yu Huang 013; Xinyang Shen; Xiaofei Liao (ISCA, 2023)

Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Chaoqiang Liu; Xiangyu Ye; Jingrui Yuan; Xiaofei Liao; Hai Jin 001; Jingling Xue (ISCA, 2023)

Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach. - Hai Jin 001; Dan Chen 006; Long Zheng 003; Yu Huang 013; Pengcheng Yao; Jin Zhao 003; Xiaofei Liao; Wenbin Jiang 001 (IEEE Trans. Computers, 2023)

Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Haoyan Huang; Xiaofei Liao; Hai Jin 001 (DAC, 2024)

High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis. - Qinggang Wang; Long Zheng 003; Zhaozeng An; Haoqin Huang; Haoran Zhu; Yu Huang 013; Pengcheng Yao; Xiaofei Liao; Hai Jin 001 (DAC, 2024)

Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Jingyi Zhou; Chaoqiang Liu; Runze Wang; Xiaofei Liao; Hai Jin 001; Jingling Xue (ISCA, 2024)

A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs. - Qinggang Wang; Long Zheng 003; Zhaozeng An; Shuyi Xiong; Runze Wang; Yu Huang 013; Pengcheng Yao; Xiaofei Liao; Hai Jin 001; Jingling Xue (MICRO, 2024)

Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. - Xiaofei Liao; Wenju Zhao; Hai Jin 001; Pengcheng Yao; Yu Huang 013; Qinggang Wang; Jin Zhao 003; Long Zheng 003; Yu Zhang 027; Zhiyuan Shao (J. Comput. Sci. Technol., 2024)

A heterogeneous 3-D stacked PIM accelerator for GCN-based recommender systems. - Xinyang Shen; Yu Huang 013; Long Zheng 003; Xiaofei Liao; Hai Jin 001 (CCF Trans. High Perform. Comput., 2024)

PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications. - Long Zheng 003; Ao Hu; Qinggang Wang; Yu Huang 013; Haoqin Huang; Pengcheng Yao; Shuyi Xiong; Xiaofei Liao; Hai Jin 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

CPSAA: Accelerating Sparse Attention Using Crossbar-Based Processing-In-Memory Architecture. - Huize Li; Hai Jin 001; Long Zheng 003; Xiaofei Liao; Yu Huang 013; Cong Liu 028; Jiahong Xu; Zhuohui Duan; Dan Chen 006; Chuangyi Gui (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

L-FNNG: Accelerating Large-Scale KNN Graph Construction on CPU-FPGA Heterogeneous Platform. - Chaoqiang Liu; Xiaofei Liao; Long Zheng 003; Yu Huang 013; Haifeng Liu 003; Yi Zhang 004; Haiheng He; Haoyan Huang; Jingyi Zhou; Hai Jin 001 (ACM Trans. Reconfigurable Technol. Syst., 2024)

ARCHER: a ReRAM-based accelerator for compressed recommendation systems. - Xinyang Shen; Xiaofei Liao; Long Zheng 003; Yu Huang 013; Dan Chen 006; Hai Jin 001 (Frontiers Comput. Sci., 2024)

MetaHG: Enhancing HGNN Systems Leveraging Advanced Metapath Graph Abstraction. - Haiheng He; Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Xinyang Shen; Wenkan Huang; Shuaihu Cao; Xiaofei Liao; Hai Jin 001; Jingling Xue (EuroSys, 2025)

HeterRAG: Heterogeneous Processing-in-Memory Acceleration for Retrieval-augmented Generation. - Chaoqiang Liu; Haifeng Liu 003; Dan Chen 006; Yu Huang 013; Yi Zhang 004; Wenjing Xiao; Xiaofei Liao; Hai Jin 001 (ISCA, 2025)

Cheetah: Accelerating Dynamic Graph Mining with Grouping Updates. - Yi Zhang 004; Xiaomeng Yi; Yu Huang 013; Jingrui Yuan; Chuangyi Gui; Dan Chen 006; Long Zheng 003; Jianhui Yue; Xiaofei Liao; Hai Jin 001; Jingling Xue (ACM Trans. Archit. Code Optim., 2025)